Security Bulletin
Summary
In SQLite before 3.32.3, select.c mishandles query-flattener optimization, leading to a multiSelectOrderBy heap overflow because of misuse of transitive properties for constant propagation. TensorFlow in WML CE uses SQLite as its embedded SQL database engine.
Vulnerability Details
CVEID: CVE-2020-15358
DESCRIPTION: SQLite is vulnerable to a heap-based buffer overflow, caused by improper bounds checking by the mishandling of query-flattener optimization in select.c. By sending a specially-crafted request, a remote attacker could overflow a buffer and execute arbitrary code on the system.
CVSS Base score: 9.8
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/184103 for the current score.
CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Affected Products and Versions
| Affected Product(s) | Version(s) |
| IBM Watson Machine Learning Community Edition | 1.6.2 |
| IBM Watson Machine Learning Community Edition | 1.7.0 |
Remediation/Fixes
TensorFlow has been rebuild to include SQLite 3.32.3.
Workarounds and Mitigations
Tensorflow must be updated.
For the GPU enabled version:
conda update tensorflow-gpu
For the non GPU enabled version:
conda update tensorflow
Get Notified about Future Security Bulletins
References
Change History
17 Jul 2020: Initial Publication
*The CVSS Environment Score is customer environment specific and will ultimately impact the Overall CVSS Score. Customers can evaluate the impact of this vulnerability in their environments by accessing the links in the Reference section of this Security Bulletin.
Disclaimer
Review the IBM security bulletin disclaimer and definitions regarding your responsibilities for assessing potential impact of security vulnerabilities to your environment.
Document Location
Worldwide
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Document Information
Modified date:
20 July 2020
UID
ibm16250937